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Presentation of findings from Young Lives by Virginia Morrow and Paul Dornan, at the New School New York on 5 November 2014. Further info: http://www.younglives.org.uk/news/news/event-advancing-equity-for-children
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Poverty, Inequality and Social
Change in Children’s LivesAdvancing Equity for Children:
25th Anniversary of the UN CRC
Ginny Morrow, Senior Research Officer /
Deputy Director, Young Lives
Paul Dornan, Senior Policy Officer, Young Lives
Presentation at the New School, New York, 5 November 2014
25 YEARS OF THE CRC
• Huge progress achieved though holistic approach to child
development
• Child survival and enrolment in school
• BUT widespread inequities affecting the poorest and most
vulnerable children = a global issue
• An ‘unfinished agenda’
• Emphasis on child protection
• 47% of all people living in extreme poverty are aged 18 or
younger (Olinto et al. 2013)
THE STUDY• Multi-disciplinary study that aims to:
- improve understanding of childhood poverty
- provide evidence to improve policies & practice
• Following nearly 12,000 children in 4 countries: Ethiopia; India
(Andhra Pradesh & Telangana); Peru and Vietnam, over 15 years
• Now covers 11 year period: first data collected in 2002, with 5 survey
rounds and 4 waves of qualitative research with nested sample 50
children plus school survey of children in school
• Two age cohorts in each country:
- 2,000 children born in 2000-01
- 1,000 children born in 1994-95
• Pro-poor sample: 20 sites in each country, reflecting country diversity
(rural-urban, diverse livelihoods, ethnicity)
• Collaboration:
- partners in each study country
- core funded by DFID, DGIS, IrishAid
- collaboration with UNICEF Office of Research
AGES: 1 5 8 12 15
YOU
NG
ER C
OH
OR
T
Following 2,000 children
OLD
ER C
OH
OR
T
Following 1,000 children
AGES: 8 12 15 19 22
Round 1 Round 2 Round 3 Round 4 Round 5 2002 2006 2009 2013 2016
VISUALISING THIS
Same age children at
different time points
Qualitative nested sample
1 2 3 4
Linked
school surveys
TEN YEARS IN CHILDREN’S LIVES • The economies of all four Young Lives
countries grew rapidly in the first
decade of the 21st Century
• This growth was accompanied by
broad infrastructural improvements
and increased service access
(associated with the MDGs) e.g. – increased external investment, road
and communications infrastructure
– primary school enrolment = near
universal across the sample in 3 of our
countries and rapidly increasing in
Ethiopia
– Social protection: MGNREGA, India;
Juntos, Peru; PSNP, Ethiopia
– Health insurance in Vietnam, Peru and
in India. Health Extension Workers in
Ethiopia58
79
74
93
37
55
60
94
29
62
0 50 100
2006
2013
2002
2013
2002
2013
2002
2013
2006
2013
Pip
edW
ater
San
itat
ion
Flu
shto
ilet
Elec
tric
ity
Inte
rnet
Peru
WHAT HAPPENS?
0102030405060708090
100
Men (
%)
Wom
en (
%)
Men (
%)
Wom
en (
%)
Men (
%)
Wom
en (
%)
Men (
%)
Wom
en (
%)
Ethiopia UnitedAndhraPradesh
Peru Vietnam
% o
f 19 y
ear
old
s
Not workingor studying
Working only
Combiningstudy and
work
Studying only
WHAT HAPPENS BY 19 YEARS?
• Substantial numbers are still studying at 19 years - huge policy
opportunity. But the least poor young people, those whose parents
had higher levels of education and those growing up in urban areas
stay longer in education
• Gender differences in 3 out of 4 countries by age 19 in who
studies. Young men much more likely to remain studying in AP,
India; Young women in Ethiopia and Vietnam.
• Poorer girls and those living in rural areas are more likely to be
married and had a child by age 19
• Girls married by age 19 Had a child by age 19
37% – AP India 24% - Peru
25% - Peru 21% - AP India
19% - Vietnam 12% - Vietnam
13% - Ethiopia 9% - Ethiopia
KEY QUESTIONS FOR POLICY
• Why such large differences by age 19 years?
• What sorts of approaches might improve
equality of opportunity and stop young people
being left behind.
Addressing the earlier roots of later differences
in opportunities faced
- Central importance of tackling under-
nutrition
- Crisis in learning, and potential of the
school
TACKLING UNDER-NUTRITION
0
5
10
15
20
25
30
35
40
45Poore
st t
hir
d
Least
poor
thir
d
Rura
l
Urb
an
Schedule
d T
ribe
Schedule
d C
ast
e
Backw
ard
Cla
sses
Oth
er
Cast
es
Wealth level Location Caste/ethnicity
% o
f childre
n s
tunte
d
2006
2013
Early under-
nutrition associated
with a range of
negative outcomes
The poorest 1/3 of
children are around
twice as likely to be
stunted as the least
poor third
Andhra Pradesh, 12-year-old children
Implication - central importance of early years policy to SDGs but importance to invest in middle childhood also
A CRISIS IN LEARNING?
• Assumption made both by policy makers and by children and
parents that education will lead to social mobility
- But will it?
o Improved enrolment rates are a great success - but don’t
always lead to good learning
o Learning influenced by household factors, not just the
school
o Unequal opportunities to learn
Need to look at schooling in new light for SDGs
POLICY SOMETIMES WIDENS GAPS
0
10
20
30
40
50
60
70
80
Boys Girls Poorest third Least poor third Average
2006 2013
Andhra Pradesh, enrolment in private schools (% of 12-year-olds)
BUT POLICY CAN NARROW GAPS
Narrowing learning gaps against tests based on the curricula
0
100
200
300
400
500
600
Oct-11 Apr-12
Kinh Ethnic Minority
Vietnam, Maths tests results (standardised so average initial performance=500)
(age 10 years)
Why?
Decision making over
who stays in school
shaped by
- economic pressures
- institutional
structural
- socio-cultural
context
Gender gaps in enrolment by age
HOW, WHEN AND WHY GENDER INEQUITIES FORM
-20
-15
-10
-5
0
5
10
Ethiopia AndhraPradesh
Peru Vietnam
At age 8
At age12At age15
Pro girl
Pro boy
Percentage point
IMPLICATIONS FOR POLICY
• Cognitive gaps between social groups well in place before children
enter school, but ways these widen after varies with the impact of
school system:
-Vietnam, high performer and more equalising
- Andhra Pradesh, low performer and widening gaps
(a) Early phase of life central foundation for later learning
(b) Tackling household poverty supports education
(b) Greater focus on school effectiveness for learning
(c) Programming potential to capitalise on school for other purposes –
e.g. school feeding programmes
(d) Addressing gender disadvantages requires both policy targeted at
children directly and engaging with wider societal structures which
shape household decision-making
• UN GA 2014“Need to reduce implementation gap between principles and
rights enshrined in UN CRC and actual living conditions of the
most marginalised and excluded girls and boys who are left
behind”
“Many children find themselves living with multiple risks and
multiple hazards … action must be on the basis of mappings of
vulnerability that reflects these complexities”
• SDGs and data revolution = potential to increase the profile
of children, key messages include:
- increase social protection coverage for households with
children
- identify and improve effectiveness of school for poorer
and marginalised children
FINAL REFLECTIONS
www.younglives.org.uk
• methods and research papers
• datasets (UK Data Archive)
• publications
• child profiles and photos
• e-newsletter
FINDING OUT MORE
• Young Lives children, parents/caregivers as well as
community leaders, teachers, health workers and
others in communities.
• Fieldworkers, data-managers, survey enumerators
and supervisors, principal investigators and
country directors in each country
• Funders: DFID, DGIS, IrishAid, Oak Foundation,
Bernard Van Leer Foundation, UNICEF
• Oxford team
ACKNOWLEDGEMENTS AND THANKS